Our research projects vary in size, scope, and duration, but they share a focus on developing tools and methods that help LLNL deliver on its missions to the nation and, more broadly, advance the state of the art in scientific HPC. Projects are organized here in three ways: Active projects are those currently funded and regularly updated. Legacy projects are no longer actively developed. The A-Z option sorts all projects alphabetically, both active and legacy.

Active | A-Z | Legacy

Cluster Management Tools

Flexible Support for Our Linux Ecosystem

Large Linux data centers require flexible system management. At Livermore Computing, we are committed to supporting our Linux ecosystem at the high end of commodity computing.

PDES

Modeling Complex, Asynchronous Systems

PDES focuses on models that can accurately and effectively simulate California’s large-scale electric grid.

Math for Data Mining

Improved Matrix Factorization Algorithms

Newly developed mathematical techniques reveal important tools for data mining analysis.

GLVis

Finite Element Visualization

GLVis is a lightweight tool for accurate and flexible finite element visualization that provides interactive visualizations of general FE meshes and solutions.

TOSS

Speeding Up Commodity Cluster Computing

Researchers are developing a standardized and optimized operating system and software for deployment across Linux clusters to enable HPC at a reduced cost.

STAT

Discovering Supercomputers' Code Errors

LLNL’s Stack Trace Analysis Tool helps users quickly identify errors in code running on today’s largest machines.

High-Order Finite Volume Methods

Tackling Phase Space Problems in Complex Geometries

High-resolution finite volume methods are being developed for solving problems in complex phase space geometries, motivated by kinetic models of fusion plasmas.

ROSE Compiler

Robust Analysis, Debugging, and Optimization Capabilities

ROSE, an open-source project maintained by Livermore researchers, provides easy access to complex, automated compiler technology and assistance.

Master Block List

Protecting Against Cyber Threats

Master Block List is a service and data aggregation tool that aids Department of Energy facilities in creating filters and blocks to prevent cyber attacks.

Derived Field Generation

Execution Strategies for Multiple Hardware Architectures

Livermore computer scientists have helped create a flexible framework that aids programmers in creating source code that can be used effectively on multiple hardware architectures.

Machine Learning

Strengthening Performance Predictions

LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.

InfiniBand

Improving Communications for Large-Scale Computing

Livermore Computing staff is enhancing the high-speed InfiniBand data network used in many of its high performance computing and file systems.

Ardra

Scaling Up Transport Sweep Algorithms

Researchers are testing and enhancing a neutral particle transport code and its algorithm to ensure that they successfully scale to larger and more complex computing systems.

Data-Intensive Computing Solutions

Addressing Growing Demands

New platforms are improving big data computing on Livermore’s high performance computers.

HPC Code Performance

Challenges and Solutions

LLNL researchers are finding some factors are more important in determining HPC application performance than traditionally thought.

CT Image Enhancement

Novel Processing Pipeline for Threat Detection

Researchers are developing enhanced computed tomography image processing methods for explosives identification and other national security applications.

Topological Analysis

Charting Data’s Peaks and Valleys

LLNL and University of Utah researchers have developed an advanced, intuitive method for analyzing and visualizing complex data sets.

TESSA

Tracking Space Debris

Testbed Environment for Space Situational Awareness software helps to track satellites and space debris and prevent collisions.

ZFS

Improving Lustre Efficiency

Computer scientists are incorporating ZFS into their high performance parallel file systems for better performance and scalability.

PSUADE

Non-Intrusive Uncertainty Quantification

The flourishing of simulation-based scientific discovery has also resulted in the emergence of the UQ discipline, which is essential for validating and verifying computer models.

Spindle

Scalable Shared Library Loading

Spindle improves the library-loading performance of dynamically linked HPC applications by plugging into the system’s dynamic linker and intercepting its file operations.

Caliper

Application Introspection System

Caliper enables users to build customized performance measurement and analysis solutions by connecting independent context annotations, measurement services, and data processing services.

Serpentine Wave Propagation

Advanced Finite Difference Methods

These methods for solving hyperbolic wave propagation problems allow for complex geometries, realistic boundary and interface conditions, and arbitrary heterogeneous material properties.

Cram

Running Millions of Concurrent MPI Jobs

Cram lets you easily run many small MPI jobs within a single, large MPI job by splitting MPI_COMM_WORLD up into many small communicators to run each job in the cram file independently.